Data Mining Software

ALSO CALLED:
Data Analysis Software,
Mining SoftwareDEFINITION: Decision tree software is a type of application used in data mining to simplify complex strategic challenges and evaluate the cost-effectiveness of research and business decisions. The intent is to ensure that a given set of data is accurately described, categorized and analyzed so that meaningful conclusions can be derived. Decision tree software uses predictive models to achieve results, mapping
Definition continues below.

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Access this white paper to learn how Hadoop can serve as an integration platform to harmonize data in a way that can be processed in relational databases and data warehouses. Inside, discover how Hadoop acts as a data lake, making mining for important information simple, simplify data access for non-technical users, and more.

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Legacy supply chains can suffer from issues like data latency, data fragmentation, and a lack of scalability, which can hold businesses back in an increasingly fast-paced, data-driven world. Find out how to empower supply chain management teams with agility, real-time business intelligence, and predictive analytics capabilities.

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An environment in which data scientists can work collaboratively with multiple stakeholders, in rapid iterations, is key to meeting relentless business demands. Discover ways to help data teams lead the enterprise predictively and proactively.

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How do raw metrics and records become information that drives business results? Explore ways to equip data scientists, engineers, and more with the skills they need to make actionable, valuable insights.

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This resource explores why the contact center has remained a highly untapped source of customer insight, explains how recent advances are giving organizations the power to analyze voice interactions, and counts down three essential success factors that you should consider.

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This resource evaluates the adoption of enterprise-wide, production-ready big data tools using market data from Forrester Research and a custom study from CenturyLink Technology Solutions.

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This resource introduces a data management and analytics approach that gives you the power to harness customer information to improve experiences and meet constantly changing consumer expectations.

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Today's business intelligence platforms are expensive, labor-intensive to maintain, and have a low adoption rate with business users. This resource introduces an out-of-the-box BI tool that conquers these challenges – read on to learn how.

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This brief resource introduces an enterprise distribution of Hadoop that takes the pain out of big data management. Read on to learn how you can perform interactive big data analysis, accelerate big data cluster deployment, and more.

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This white paper introduces a customized learning assessment work package that extends the value of one business intelligence and performance management platform by teaching your business users the skills they need to drive success.

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This resource examines the value of metadata in business intelligence, and introduces a metadata modeling tool for managing access to all existing data sources and ensuring data trustworthiness.

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Access this brief resource today to learn about a platform that makes reliable, trusted business intelligence (BI) data available in familiar Microsoft Office applications – giving you a single, trusted version of the truth.

DATA MINING SOFTWARE DEFINITION (continued): observed values about a subject to conclusions about that subject's target value. This process utilizes tree structures to correspond to classifications and features, where leaves represent classifications and branches represent conjunctions of features that lead to those classifications.Decision tree software is used in a wide range of industries. Risk-analysis is a common application at insurance companies, for instance, where data processing and knowledge discovery capabilities are used by actuaries to segment and understand customer behaviors. In call centers, decision tree software may be

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